GeneSet Information

Tier III GS75765 • Real-time RT-PCR measurements of gene expression in human Th1/Th2 cells

DESCRIPTION:

Real-time RT-PCR measurements of gene expression were carried out with a set of 14 genes (Table 1) on three separate T-cell cultures. Polarized (day 14 cells) CD4+ Th1 or Th2 cells were triggered with antibodies for CD3 and CD28 for 2, 6 or 24 hours and gene expression was quantitated (Figure ​(Figure3).3Figure 3). During the time course of activation a general trend of downregulation of transcription was observed in the genes studied. The expression of a housekeeping gene, however, was unaffect

LABEL:

FD in GE -Th1/Th2 Cells

SCORE TYPE:

Effect

DATE ADDED:

2010-07-07

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

Hamalainen H, Zhou H, Chou W, Hashizume H, Heller R, Lahesmaa R

TITLE:

Distinct gene expression profiles of human type 1 and type 2 T helper cells.

JOURNAL:

Genome biology None 2001, Vol 2, pp. RESEARCH0022

ABSTRACT:

BACKGROUND: The development and activation of CD4+ helper T cell (Th) subsets with distinct patterns of unbalanced production of cytokines play an important part in infectious, allergic and autoimmune diseases. Human neonatal cord blood CD4+ Th cells can be polarized into type 1 or type 2-like effector cells in vitro by culturing them in the presence of interleukin (IL)-12 or IL-4, respectively. We have exploited this experimental system to identify marker genes that are differentially expressed by polarized Th1 and Th2 cells. An oligonucleotide microarray specifically designed to screen for inflammation-related candidate genes was used and the differential expression was further validated with a quantitative real-time RT-PCR method. RESULTS: In addition to the previously described marker genes of Th cells, we report subtle changes in the expression of several other genes that represent growth factors, receptors and other signaling molecules in polarized Th1 and Th2 cell subsets. Additionally, we describe a novel set of genes as Th1/Th2 differentiation markers for cells activated by anti-CD3 and anti-CD28 antibodies. CONCLUSIONS: This study demonstrates the power of the targeted use of microarrays in combination with quantitative real-time RT-PCR in identifying and validating new marker genes for gene expression studies. PUBMED: 11516335
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Growth (D006128)
T-Lymphocytes (D013601)
RNA (D012313)
Humans (D006801)
Receptors, Cytokine (D018121)
Play and Playthings (D010988)
Cytokines (D016207)
Genes, Essential (D020043)
Gene Expression Profiling (D020869)
Research Report (D058028)
Antigens, Differentiation (D000943)
Th1 Cells (D018417)
Th2 Cells (D018418)
Housekeeping (D006796)
Antigens, CD4 (D015704)
Autoimmune Diseases (D001327)
Power (Psychology) (D011209)
Down-Regulation (D015536)
Culture (D003469)
Fetal Blood (D005312)
Time (D013995)
Reverse Transcriptase Polymerase Chain Reaction (D020133)
Intercellular Signaling Peptides and Proteins (D036341)
Sensitivity and Specificity (D012680)
In Vitro (D007176)
Oligonucleotide Array Sequence Analysis (D020411)
Interleukins (D007378)
Cells (D002477)
Blood (D001769)
T-Lymphocytes, Helper-Inducer (D006377)
Antibodies (D000906)
Set (Psychology) (D012718)
Interleukin-4 (D015847)
blood (MA:0000059)
cell (GO:0005623)
growth (GO:0040007)
gene expression (GO:0010467)
signaling (GO:0023052)

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Supported by NIH R01 AA18776 jointly funded by NIAAA and NIDA, and JAX Center for Precision Genetics NIH U54 OD 020351